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An Identification Method of Power Object Model of Turbine Regulation System

A technology for adjusting the system and object model, applied in the field of system identification, can solve the problems that the beetle whisker search algorithm is prone to premature maturity and easy to fall into local optimum, and achieve the effects of high degree of curve fitting, good practicability, and good identification effect

Active Publication Date: 2022-07-19
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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  • Description
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AI Technical Summary

Problems solved by technology

Since it was proposed, it has been widely used in workshop scheduling, optimization problems, power grid planning, etc., but the beetle whisker search algorithm is prone to premature maturity and easy to fall into local optimum

Method used

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  • An Identification Method of Power Object Model of Turbine Regulation System
  • An Identification Method of Power Object Model of Turbine Regulation System
  • An Identification Method of Power Object Model of Turbine Regulation System

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Embodiment

[0045] Referring to the accompanying drawings, the first embodiment of the present invention provides a method for identifying a power object model of a steam turbine regulating system. The identification algorithm includes: an improved long beetle search algorithm, and an adaptive search algorithm is introduced into the basic long beetle search algorithm. The local search strategy is improved by the Monte Carlo rule of factor and simulated annealing, and the improved beetle search algorithm is obtained; the sample data is collected, and the actual operation data of the steam turbine regulation system of the thermal power plant is collected as the sample data; the power object model is identified, and the improved The long-beaked beetle search algorithm of the proposed method identifies the power object model through the sample data, and obtains the identification result.

[0046] Specifically, input the parameters of the steam turbine adjustment system into the database, and ini...

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Abstract

The invention discloses a method for identifying a power object model in a steam turbine regulating system. Cattle whisker search algorithm; S collects the actual operation data of the steam turbine regulation system of the thermal power plant, and selects one of the data segments with obvious changes in power as the sample data; uses the improved beetle search algorithm to identify the power object model through the sample data, and obtains the identification result. Compared with the prior art, the present invention introduces the Monte Carlo rule of simulated annealing to improve the basic beetle search algorithm, the local search speed is faster, the local optimum can be effectively avoided, the global convergence speed is faster, and the stability is improved. better, the overall identification effect is better, which has important practical significance for improving the automatic control level of thermal power units.

Description

technical field [0001] The invention relates to the technical field of system identification technology, in particular to a method for identifying a power object model of a steam turbine regulating system. Background technique [0002] With the continuous development of science and technology, supercritical units and ultra-supercritical thermal power plants have become the main development trend. Whether the thermal automatic control of large thermal power plants can operate safely has become particularly important, how to design the control system of the controlled object model and Parameter tuning becomes the core issue. Since the accuracy of the parameter identification method of the step response curve is not too high, it is difficult to complete the parameter identification of the large-capacity unit model that requires higher accuracy. In recent years, various intelligent optimization algorithms such as ant colony algorithm, leapfrog algorithm, wolf group algorithm an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F01D17/10G06F17/18
CPCF01D17/105G06F17/18F05D2270/70
Inventor 孙宇贞李帅彭道刚赵慧荣李芹唐毅伟
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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